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一种基于Rough集理论的多属性综合评价方法
引用本文:万伟,王命延,陈熹.一种基于Rough集理论的多属性综合评价方法[J].计算机与现代化,2007(1):49-51,59.
作者姓名:万伟  王命延  陈熹
作者单位:1. 南昌大学计算机系,江西,南昌,330029
2. 上海交通大学软件学院,上海,200240
摘    要:目前诸多的综合测评方法在权重设置等方面的局限性制约了人们对评价对象的科学认识,本文根据Rough 集理论,提出了基于Rough 集的综合评价方法,旨在消除权重设置的主观性,实现完全数据驱动,不需要人为设置权重.通过大学生综合测评实例,验证该方法的实用性、可行性.

关 键 词:Rough    属性约简  属性重要性  数据驱动  Rough  Set  理论  属性综合  评价方法  Based  Measurement  Method  验证  学生综合测评  权重设置  数据驱动  完全  科学认识  评价对象  测评方法
文章编号:1006-2475(2007)01-0049-03
收稿时间:2006-08-28
修稿时间:2006-08-28

Research on Multi-attribute Measurement Method Based on Rough Set
WAN Wei,WANG Ming-yan,CHEN Xi.Research on Multi-attribute Measurement Method Based on Rough Set[J].Computer and Modernization,2007(1):49-51,59.
Authors:WAN Wei  WANG Ming-yan  CHEN Xi
Affiliation:1.Department of Computer Science, Nanchang University, Nanchang 330029, China; 2.School of Software, Shanghai Jiaotong University, Shanghai 2(D240, China
Abstract:Although many comprehensive measurement methods have improved objectivity of evaluation process, the limitations in weightassignment and establishment of single factor measurement matrix of these methods restrict us to evaluate objects. In this paper, a new multi-attribute measurement method based on rough set is presented, which eliminates the subjectivity in weight assignment, efficiently reduces the scale of index system and shortens calculating time, realizes completely data driving, not needs set weightiness by manual acting. An example shows this method is effective and feasible.
Keywords:rough set  attribute reduction  weightiness of attribute  data driving
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